is a relational data warehouse containing a company’s business data, including information about its customers. An EDW enables data analytics, which can inform actionable insights. Like all data warehouses, EDWs collect and aggregate data from multiple sources, acting as a repository for most or all organizational data to facilitate broad access and analysis.
Published in Chapter:
Introduction to Big Data Analytics
Copyright: © 2024
|Pages: 48
DOI: 10.4018/979-8-3693-0413-6.ch001
Abstract
Big data refers to data collections that are either too huge or too complex for traditional data-processing application software to manage. The three major concepts initially associated with big data are volume, variety, and velocity. The fourth major concept, veracity, is concerned with the accuracy or believability of the data. Big data analytics is the act of acquiring and analyzing massive volumes of data to discover market trends, insights, and patterns that may help firms in making better business decisions. Across all corporate sectors, improving efficiency results in more shrewd operations overall, more profits, and happy customers. This chapter gives an overview on how to store and manage big data, importance of big data analytics, how to apply big data analytics using different methods and tools to benefit businesses, and big data analytics applications in various fields, as well as challenges facing big data analytics.